ライフサイエンスコーパス: normalization

1 OR, 0.95 [95% CI, 0.94-0.96] per +1% SEE for normalization).

2 r comparison, and with creatinine for sample normalization.

3 that suitably pairs with the proposed robust normalization.

4 ns ranging from threat assessment to speaker normalization.

5 rs in vivo, which correlated with phenotypic normalization.

6 zing data generated using this technology is normalization.

7 possible to measure using dynamic population normalization.

8 r population of cells associated with vessel normalization.

9 evices under the same overdrive, without any normalization.

10 er (TH1) cells play a crucial role in vessel normalization.

11 d inhibitory synapses and result in divisive normalization.

12 vices for biomedical concept recognition and normalization.

13 with an additional housekeeping protein for normalization.

14 periglomerular cells can mediate this signal normalization.

15 v) postexperimental data analysis, including normalization.

16 for NER and supervised semantic indexing for normalization.

17 ework to implement proximity-based intensity normalization.

18 single nonisotope internal standard for data normalization.

19 hich remained elevated despite glucose level normalization.

20 e (Cq) values were not a reliable factor for normalization.

21 model as a general toolkit for joint NER and normalization.

22 immune checkpoint blockade increased vessel normalization.

23 nonlinear and is well described by divisive normalization.

24 es, especially in case of ultrasound picture normalization.

25 r density and branching suggestive of vessel normalization.

26 challenging due to the information loss from normalization.

27 on pre-processing, quality control (QC) and normalization.

28 Although the rates of echocardiographic normalization (30% and 27%) and heart transplantation (2

29 Here we demonstrate that divisive normalization, a canonical neural computation operating

30 dance estimates, suggesting that fold change normalization against a control is an important step for

31 s, type 2 diabetes, alanine aminotransferase normalization, age, and a nonalcoholic fatty liver activ

32 ts of a multivariate extension of the global normalization and a modified t-test.

33 formation is beneficial to biomedical entity normalization and can be well combined with morphologica

34 calls for caution on the routine use of data normalization and cross-validation in such analysis.

35 data, employing advanced novel segmentation, normalization and de-noising techniques that are designe

36 Normalization and decomposition algorithms have been pro

37 on and frequency of alanine aminotransferase normalization and HBeAg seroconversion.

38 development and validation of procedures for normalization and integration of results from many neuro

39 RNA-Seq data, parameters for expression data normalization and network inference were evaluated.

40 comparisons of means, incorporating built-in normalization and quantifying technical artifacts by bor

41 ha9 knockout mice displayed delayed vascular normalization and reduced endothelial apoptosis, indicat

42 Linnorm is a novel normalization and transformation method for the analysis

43 The combined effect of blood normalization and uptake time correction was inspected b

44 te rigorous pre-processing, quality control, normalization and visualization of scRNA-seq data.

45 uency ablation eliminated AES leading to ECG normalization and VT/VF noninducibility in all patients.

46 nd elimination of AES leading to ECG pattern normalization and VT/VF noninducibility.

47 on by radiofrequency ablation results in ECG normalization and VT/VF noninducibility.

48 OR, 1.04 [95% CI, 1.03-1.04] per +1% SEE for normalization) and Ecc (AUC, 0.834 [95% CI, 0.807-0.862]

49 OR, 1.07 [95% CI, 1.05-1.10] per +1% SEE for normalization), and for normalization was greater than t

50 M models by reducing tumor burden, improving normalization, and altering TAMs.

51 ility, the results from different methods of normalization, and demonstrate high concordance between

52 We here discuss commonly used normalization approaches and illustrate how these can pr

53 Four different normalization approaches were compared to find reliable

54 Benefits of cell (tissue)-specific normalization are demonstrated in three data sets.

55 propose a model in which weights of divisive normalization are dynamically adjusted to homeostaticall

56 rong predictor of functional improvement and normalization (area under the curve [AUC], 0.840 [95% co

57 architecture that regards biomedical entity normalization as a ranking problem and benefits from sem

58 architecture that regards biomedical entity normalization as a ranking problem.

59 tic direction, regardless of the use of data normalization as an effort to remove these artifacts.

60 roportion of children with echocardiographic normalization at 3 years of follow-up (FDCM, 30% versus

61 nts in absolute LVEF (10.7%; p = 0.0069) and normalization at 6 months (73% vs. 29%; p = 0.0093).

62 ve Doppler ultrasound at day 30, followed by normalization at day 60 (P < 0.05, n = 9-20).

63 Comprehensive analysis of the data with normalization at different power normalization index (PN

64 ng probability and the fact that independent normalization at each position skews the site probabilit

65 pervised rotation invariant feature and pose-normalization based approaches, our new approach achieve

66 nostic factor for PFS and OS, whereas PET-CT normalization before maintenance was an independent prog

67 PET-CT normalization before maintenance was described in 62% of

68 redictive models that are not only robust to normalization but also easily validated and measured by

69 of death, transplant, and echocardiographic normalization by cohort and to identify the factors asso

70 t a computational method matrix analysis and normalization by concordant information enhancement (MAN

71 After normalization by the surface area, the thickness of the

72 (a parameter of the model) through vascular normalization can achieve more effective drug delivery a

73 Our study shows that normalization can explain interactions between neurons i

74 Models of divisive normalization can explain the trial-averaged responses o

75 udes preliminary data analysis, such as data normalization, candidate identification, and an in-depth

76 g exponents for D vs. V and H vs. V, whereas normalization constants are negatively correlated with t

77 cted by the model and supported by the data, normalization constants are positively correlated with t

78 relationships between scaling exponents and normalization constants remain unclear.

79 t gene expression features related to vessel normalization correlate with immunostimulatory pathways,

80 ed by hyperglycemia despite systemic glucose normalization could contribute to the glycemic memory ef

81 Hct normalization, exercise training, or the combination the

82 ioCreative 5 CDR corpus, NER f-score: 0.914, normalization f-score 0.895).

83 es (NCBI Disease corpus, NER f-score: 0.829, normalization f-score: 0.807) and chemicals (BioCreative

84 rodes can have a high degree of variability, normalization factors were required between electrodes f

85 ) and the distinctive paradigm of rapid mood normalization following ketamine treatment, the current

86 y identified in MDD and the swift and robust normalization following treatment suggest that GBCr may

87 on to develop a personalized, activity-based normalization framework to identify abnormal physiologic

88 ese differences develop when excitation (not normalization) from neighbouring oriented neurons is app

89 mplemented architecture includes parsing and normalization functions to control for common sources of

90 features of sensory neurons such as divisive normalization, gain control and contrast dependent tempo

91 compared super-delta with four commonly used normalization global, median-IQR, quantile, and cyclic l

92 accurate named entity recognition (NER) and normalization (grounding).

93 Sample variance is greatly reduced after normalization, hence the power of subsequent statistical

94 or CD4(+) T cells, in turn, support vascular normalization, highlighting intertwined roles for blood

95 also an alternate explanation for the vessel normalization hypothesis.

96 rease from baseline and ALP remission as ALP normalization (if baseline ALP 1.67x-2.8x ULN) or <1.67x

97 arried out being the whole one: (i) internal normalization; (ii) sampling based on The Nyquist Theore

98 28), and 100% (n = 29/29) of patients in the normalization, improvement, and nonresponse groups, resp

99 We identified a pattern of normalization in DNA methylation by vitamin C supplement

100 nd highlight the critical importance of data normalization in gene expression deconvolution applicati

101 of such techniques as max-pooling and batch normalization in our method.

102 obal, median-IQR, quantile, and cyclic loess normalization in simulation studies.

103 eveloped a model of adaptation that combines normalization (in which a neuron's gain is reduced by th

104 e data with normalization at different power normalization index (PNI) was developed and analysis too

105 ion of CD4(+) T lymphocytes decreased vessel normalization, indicating a mutually regulatory loop.

106 ifts in the opposite directions suggest that normalization induced by the object's motion may mediate

107 Unfortunately, vascular normalization is a difficult approach to apply in clinic

108 Normalization is an important data preparation step in g

109 Especially in large-scale studies, normalization is crucial for drawing accurate conclusion

110 Normalization is traditionally thought to result from in

111 However, normalization is typically performed using methods devel

112 ich synaptic strength, in this case divisive normalization, is increased by correlated firing).

113 ester, and a recently reported variable-time normalization kinetic analysis method was used to deline

114 adaptive valuation are captured by divisive normalization, linking these temporal context effects to

115 ndings provide strong support for a divisive normalization mechanism in multisensory integration.

116 Overall, the speed-scale normalization mechanism may reflect the natural tendency

117 principles could be explained by a divisive normalization mechanism operating in brain regions where

118 uggest that the developmental alterations in normalization mechanisms resulting from early binocular

119 euronal activity and attention, showing that normalization mechanisms shape response correlations and

120 Our findings link normalization mechanisms to correlated neuronal activity

121 f attention-related changes in the inputs to normalization mechanisms.

122 se correlations change when attention biases normalization mechanisms.

123 l robust regression with a cluster-based age normalization method to control for the effect of change

124 A baseline normalization method to improve robustness and to reduce

125 Second, we apply a mask-based RBC patch-size normalization method to normalize the variant size of se

126 Three normalization methods and 10 inference methods, includin

127 ference, but the assumptions upon which most normalization methods are based are not applicable in th

128 Various normalization methods are provided.

129 ainable for many entity types exist for NER, normalization methods are usually specialized to a singl

130 The three normalization methods had very similar performance.

131 al model to describe, as well as statistical normalization methods to account for, this variability,

132 Application of existing normalization methods to metabolomics is challenged by u

133 Consequently, applying existing normalization methods to single-cell RNA-seq data introd

134 Results were robust to different normalization methods used across studies and cell type

135 Among AVA normalization methods, AVA/height <0.45 cm(2)/m followed

136 -seq data, we compared Linnorm with existing normalization methods, including NODES, SAMstrt, SCnorm,

137 levant variability, we propose mixture model normalization (mixnorm) that accommodates truncated data

138 The normalization model also fits population responses bette

139 We then use the normalization model and recording and microstimulation e

140 area (MT) and that an extension of a classic normalization model can account for this correlation inc

141 A stochastic normalization model containing populations of oppositely

142 se results are best explained in a two-level normalization model in which consciousness affects only

143 This normalization model makes a critical diagnostic predicti

144 The normalization model of attention proposes that attention

145 Here we employ a divisive normalization model of neural responses to predict adapt

146 A spatially-tuned normalization model precisely accounted for all observed

147 in effects can be explained with a two-level normalization model, in which consciousness affects only

148 -area correlations was predicted by a simple normalization model.

149 n with predictions derived from the divisive normalization model.

150 g the 46 patients with aortic regurgitation, normalization occurred in 20 patients in whom additional

151 after intramuscular triamcinolone acetonide: normalization of (1) symptoms (Asthma Control Test score

152 nths and was significantly correlated with a normalization of abnormal FC across many networks.

153 iomyocytes with D130G-CALM2, as shown by the normalization of action potential duration and Ca(2+)/Ca

154 d to the elevation of AMPAR function and the normalization of ADHD-like behaviors in SHR.

155 for NASH pathogenesis was highlighted by the normalization of all of the changes 1 y after bariatric

156 ury and fibrosis with an early peak and slow normalization of all parameters in the CDE regimen, wher

157 Normalization of altered glutamate neurotransmission thr

158 al manifestations of the disease, as well as normalization of antibodies against epidermal and tissue

159 APC was further demonstrated by the complete normalization of bleeding after a severe tail clip injur

160 Normalization of blood glucose levels with GCGR-blocking

161 ertensive role for 20-HETE was implicated by normalization of BP and reversal of renal angiotensin mR

162 aptive WMT (FDR corrected, p < 0.0001), with normalization of brain activation in HIV participants, e

163 ine receptor function modulation, leading to normalization of Ca(2+) handling parameters.

164 ncreased in a small percentage (21%) despite normalization of cardiac enzymes.

165 myofibroblasts as demonstrated by immediate normalization of cardiomyocyte electrophysiology after t

166 The recognition and normalization of cell line names in text is an important

167 ch outperforms existing methods for accurate normalization of cell-specific biases in simulated data.

168 rogrammed cell death in the spinal cord, and normalization of circulating insulin-like growth factor

169 We observed normalization of circulating transitional and naive B ce

170 The fact that BAF, that is, normalization of Clip on porewater concentration, largel

171 75% in plasma total homocysteine (tHcy) and normalization of cysteine concentrations.

172 reover, the decrease in homocysteine and the normalization of cysteine in PEGylated CBS-treated model

173 e discuss methods for the joint analysis and normalization of data from the HumanMethylation450 ('450

174 We therefore present a new R package for normalization of data from the Illumina Infinium Human M

175 Furthermore, normalization of decoupling (n=8) during ramp testing wa

176 nto the mechanisms underlying miRNA-mediated normalization of deficient fear extinction.

177 xcitatory axons innervating MSO neurons, the normalization of dendritic EPSPs at the soma would incre

178 Guanfacine-induced normalization of dopamine signaling may be an important

179 Normalization of Dyrk1a copy number in an otherwise tris

180 biosynthesis gene expression coincident with normalization of epidermal differentiation and suppressi

181 -hFVIII-SQ was associated with the sustained normalization of factor VIII activity level over a perio

182 Within 2 years of presentation, normalization of function occurs in 20% of children with

183 Normalization of GC responses was, in part, caused by un

184 Cure of diabetes and normalization of glucose disposal during intravenous glu

185 lective agonist, results in NRF2 activation, normalization of glutathione levels, and prevention of P

186 iac steatosis and lipotoxicity, resulting in normalization of heart failure.

187 remission (CR) with persistence of mIDH2 and normalization of hematopoietic stem and progenitor compa

188 with Y1 receptor deficiency accelerates the normalization of hyperglycemia in chemically induced dia

189 for >/=6 months after treatment ended, with normalization of IL-18 and IL-1beta expression.

190 Finally, early normalization of kappa:lambda sFLC ratio but not negativ

191 activity pharmacologically in vivo led to a normalization of Kv2.1 expression and an improvement in

192 (p's<0.05), with no longitudinal evidence of normalization of KYNA or KYNA/QUIN.

193 ilot longitudinal data revealed a pattern of normalization of left NAc and hippocampal volumes partic

194 h patients' major unmet needs, which include normalization of life span (myelofibrosis and some patie

195 More importantly, normalization of lipid relative abundances based on the

196 Multivariate analysis illustrates normalization of lipidomic profiles in recovered ANs.

197 al standards to allow intra- and intersample normalization of lipids intensities in kidney sections o

198 l response and stellate cell activation, and normalization of liver enzyme activities.

199 esponse with rapid reduction of eosinophils, normalization of liver enzymes, and amelioration of any

200 nd high mortality were observed in controls; normalization of mean arterial blood pressure, heart rat

201 Normalization of MRI after three cycles of RVD and befor

202 In mouse models of LSD, normalization of mTORC1 signaling or stimulation of the

203 These findings may be relevant to the normalization of negative social interaction processing

204 ibuting recovered dilatory capacity in KK to normalization of NO.

205 After normalization of operator radiation dose by fluoroscopy

206 p53(L344P) mutant, and further supported by normalization of p53 stability in both resistant cell li

207 Treatment with KD025 resulted in normalization of pathogenic pulmonary function, which co

208 ntifies potential therapeutic targets in the normalization of platelet numbers and function in diabet

209 nd suggest a novel strategy that would allow normalization of prefrontal circuitry in addiction.

210 It has been argued that normalization of prefrontal cortical activity drives rem

211 reased uORF mRNA translation are followed by normalization of protein synthesis.

212 Accordingly, normalization of pulmonary STAT3 activity, by genetic ab

213 The use of appropriate reference miRNAs for normalization of qPCR data is crucial for accurate expre

214 loped, which involved unified processing and normalization of raw gene expression data, systematic re

215 ty, gain control, output balancing, activity normalization of rewarded STDP and hard limits on synapt

216 e phosphorylation proteins in obesity, and a normalization of ribosomal proteins post-RYGB.

217 The normalization of RNA-seq data is essential for accurate

218 of RGE is critical to guarantee satisfactory normalization of RT-qPCR data when using DNBS-Model.

219 eaches 82 mL/m(2) confers optimal chances of normalization of RV function.

220 surface antigen loss and anti-HBs gain, with normalization of serum aminotransferases off therapy.

221 and muscle VATP After oral Pi repletion and normalization of serum Pi levels, muscle VATP completely

222 ice with severe TEC H/P are hypothyroid, and normalization of serum thyroxine levels does not reduce

223 Treatment with DCA resulted in normalization of several metabolic and molecular paramet

224 introduce SCnorm for accurate and efficient normalization of single-cell RNA-seq data.

225 lation-based study does not support complete normalization of survival for patients with DLBCL achiev

226 Immune reconstitution was demonstrated by normalization of T-cell subsets (CD3(+), CD4(+), and CD8

227 For serum associated analytes, normalization of the analyte value by the extract conduc

228 volume was independently associated with the normalization of the CD4/CD8 ratio after 96 weeks of tre

229 arly acute HIV infection was associated with normalization of the coagulation cascade and several sys

230 This integration underlies normalization of the dorsal horn inhibitory tone after i

231 alance between excitation and inhibition and normalization of the E/I ratio.

232 ression after SCI, implying that therapeutic normalization of the glucocorticoid and catecholamine im

233 Increased activity of SIRT3 was evidenced by normalization of the increased acetylation of mitochondr

234 dical doses by radical dosimetry, and proper normalization of the inherent reactivity of the amino ac

235 ere obtained for data sets generated via the normalization of the measured concentrations by the aver

236 Normalization of the miR291b --> Tollip pathway by HA35

237 The transcriptomic data confirmed the normalization of the ribosomal proteins.

238 CA resulted in normalization of the SAECG in 6 patients.

239 We suggest that successful CA can result in normalization of the SAECG.

240 associated with increased I-FABP levels but normalization of TNF, sIL-6R, and D-dimer levels.

241 restoration of action potential duration via normalization of transient outward potassium current and

242 Normalization of tumor blood vessels enhances the infilt

243 t metronomic chemotherapy induces functional normalization of tumor blood vessels, resulting in impro

244 Normalization of velocities (TAMMV < 170 cm/s) was obser

245 n, the dual therapies enhanced morphological normalization of vessels.

246 After normalization of W isotope ratios to a pair of W isotope

247 Without double normalization of W isotopes and on the basis of three or

248 ent has occurred in nutritional status, with normalization of weight in the first year of life.

249 Importantly, this normalization of weight was mediated not by caloric rest

250 a rigorous data analysis workflow, including normalization, off-target analysis, integration of gene

251 able to detect more matches than either the normalization or decomposition algorithms on tested data

252 represent the quality of the raw data, as no normalization or feature-specific intensity correction w

253 ip, we used various mouse models with vessel normalization or T lymphocyte deficiencies.

254 atients, was associated with the risk of non-normalization (P< .001).

255 igh-dimensional omics data analysis covering normalization, pattern recognition, time-series analysis

256 x-internal standards mixture to evaluate the normalization potential of the internal standards.

257 nce of the observed N6L-induced tumor vessel normalization, pre-treatment with N6L efficiently improv

258 the single-sample Noob ( ssNoob ) method, a normalization procedure suitable for incremental preproc

259 We discuss normalization procedures and examine different strategie

260 Furthermore, data normalization procedures of current methods are either n

261 The yield normalization process demonstrates that the amount of ar

262 Data collection informed by Normalization Process Theory, which seeks to account for

263 dicate a crucial involvement of DLPFC in the normalization processes of emotional attention.

264 enrich the feature space by using different normalization processes on the topological features, and

265 Although disruption of vessel normalization reduced T lymphocyte infiltration as expec

266 Much of this normalization reflected the influence of dendritic morph

267 cutive cycles of sound stimuli, somatic EPSP normalization renders spike initiation more sensitive to

268 1, 95% CI 1.3-3.5), alanine aminotransferase normalization (RR = 1.4, 95% CI 1.1-1.7), and HBV DNA su

269 These results are robust across different normalization schemes.

270 two benchmark datasets for biomedical entity normalization show that our proposed CNN-based ranking m

271 Dynamic population normalization showed that per capita pharmaceutical use

272 We developed Yet Another RNA Normalization software pipeline (YARN), that includes qu

273 minimize the bias introduced by DEGs in the normalization step.

274 ntrol and preprocessing, gene filtering, and normalization steps designed to facilitate downstream an

275 tomes in mouse single neurons and provided a normalization strategy to reduce method-specific differe

276 Most state-of-the-art biomedical entity normalization systems, such as rule-based systems, merel

277 evenly than the available transformation and normalization techniques.

278 gnal Intensity), for flortaucipir F 18 count normalization that leverages the advantages of white mat

279 pulation activity patterns allow for dynamic normalization that yields much improved temporal and spa

280 at lower doses, can actually induce vascular normalization (that is, they improve blood vessel functi

281 ovel target for anti-angiogenic and vascular normalization therapies.

282 othelial gene expression and induce vascular normalization through pharmacological inhibition of the

283 Normalization to a reference material was crucial for th

284 les compared to females before but not after normalization to body surface area.

285 Using a novel means of computational normalization to compare global gene expression programs

286 levels up to 90 days after stroke revealed a normalization to control levels for miR-125b-5p and miR-

287 Normalization to internal standards corrected a 2-fold d

288 Applying capillary pore theory and normalization to our permeability data yielded mean pore

289 was addressed by a series of simulations and normalizations to account for contributions of NP nonsph

290 components: a graph-distance-based heat map normalization tool, a 3D modeling platform, and an inter

291 rformance of UPS-indel with existing variant normalization tools vt normalize, BCFtools, and GATK Lef

292 Our results suggest that scaling normalization using spike-in transcripts is reliable eno

293 After normalization using the membrane proteome with TMT10-ple

294 Indel normalization, visualization and annotation of the mutat

295 .10] per +1% SEE for normalization), and for normalization was greater than the other predictors.

296 Potassium normalization was independently associated with lower mo

297 This paradox may be resolved by vessel normalization, which involves increased pericyte coverag

298 ) mice and remained elevated despite glucose normalization with insulin implants.

299 mates, usually broadly described as divisive normalization, without having to invoke any scaling mech

300 ined unchanged during the period when static normalization would have indicated an average reduction